A review of the ethnomedicinal, antimicrobial, and phytochemical properties of Musa paradisiaca (plantain)

Ajijolakewu, Kamoldeen Abiodun; Ayoola, Abiodun Saheed; Agbabiaka, T. O.; Zakariyah, Folashade Rahmat; Ahmed, Nike Risikat; Oyedele, Olusegun Julius; Sani, A.

doi:10.1186/s42269-021-00549-3

Cited by 24 publications

(21 citation statements)

References 136 publications

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“…Banana fruit peel and flesh are rich sources of valuable phytochemicals, including polyphenols, flavonoids, fatty acids, carotenoids, phytosterols, amines (Ajijolakewu et al., 2021 ; Mathew & Negi, 2017 ; Qamar & Shaikh, 2018 ; Someya et al., 2002 ; Vilela et al., 2014 ). Among these phytochemicals, polyphenols, fatty acids, and phytosterols are abundant in banana.…”

Section: Introductionmentioning

confidence: 99%

Antioxidant activity of banana flesh and antiproliferative effect on breast and pancreatic cancer cells

Kim

Ediriweera

Davaatseren

et al. 2022

Food Science & Nutrition

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Fruits are a rich source of vitamins and sugars, along with diverse phytochemical contents, and have been linked to reducing the risk of major chronic degenerative diseases including cancer.Banana, one of the widely consumed fruits worldwide, belongs to the genus Musa in the family Musaceae (Singh et al., 2016). The genus Musa contains approximately 70 species, with more than 300-500 different varieties (Häkkinen, 2009;Maduwanthi & Marapana, 2019). World production of banana is approximately 116 million tons and India is the country with the greatest banana production, at approximately 30 million tons per year (FAO, 2019).Banana fruit peel and flesh are rich sources of valuable phytochemicals, including polyphenols, flavonoids, fatty acids, carotenoids,

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Section: Introductionmentioning

confidence: 99%

Antioxidant activity of banana flesh and antiproliferative effect on breast and pancreatic cancer cells

Kim

Ediriweera

Davaatseren

et al. 2022

Food Science & Nutrition

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“…Many of them are predicted to be GT198 inhibitors and can be tested in the future. These include saffron ( 70 , 71 ), pinellia ternate ( 72 ), ephedra ( 73 , 74 ), rhubarb ( 75 ), pomegranate ( 76 – 78 ), arisaematis rhizome ( 79 ), cuttlefish bone ( 80 , 81 ), gardenia ( 82 ), houttuynia cordata ( 83 ), loquat leave ( 84 ), mistletoe ( 85 – 87 ), Nong Ji Li ( 88 ), plantain peel ( 89 – 91 ), radix platycodonis ( 92 ), snakegourd ( 93 ), soursop leave ( 94 , 95 ), turmeric ( 96 , 97 ), Wu Gu Teng ( 98 ) ( Table 1 ). This collection represents only examples but is far from an inclusive or exhaustive list.…”

Section: Oncoprotein Gt198 As Drug Targetmentioning

confidence: 99%

Decoding cancer and herbal renaissance

Ko¹

2022

Longhua Chin Med

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The original notion in quest of cancer targets to end cancer still stands, yet the secret of common human cancer was concealed by a chicken-egg paradox. Solid tumors initiate in the tumor microenvironment from rare stem cells, which express a mutant target protein as their specific marker. For decades, the stem cell and target protein cannot paradoxically be found one without first finding the other. With combined evidence from genetics, pathology, stem cell biology, clinical oncology, and herbal medicine in particular, this paradox is resolved. Historical successful anticancer herbs, together with clinical oncology drugs, paved the way to decode cancer. In solid tumors, the liable stem cells are pericyte stem cells on blood vessels in the tumor microenvironment inducing angiogenesis. One identified target protein in pericytes is a DNA repair factor and transcriptional regulator named GT198 (gene symbol PSMC3IP , alias name Hop2). Since GT198 is found as a direct drug target of many chemotherapy drugs and clinically successful anticancer herbs, more herbal medicines worldwide can now be screened against this target. In the near future, safer and more effective natural herbal medicines could systematically treat common solid tumors. This review discusses a unified theory of cancer and diseases in which pericyte stem cells are fundamental to both. It also reveals a new approach to identifying multi-functional herbs. Unlocking herbal targets in stem cells enables effective herbal identification and, in turn, awakens the herbal renaissance.

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“…Currently, its cultivation fills out nearly all the hot tropical areas of the globe between 300 N and 300 S of the equator. Musa paradisiaca [3] is cropped in about 120 nations. The percentage share of bananas in world total production is approximated as 86 million tons of fruits as shown in Fig.…”

Section: Introductionmentioning

confidence: 99%

A Systematic Literature Review of Machine Learning Techniques Deployed in Agriculture: A Case Study of Banana Crop

et al. 2022

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for a project on "Application of IoT in Agriculture Sector" through the ICPS division under grant ID DST-319."ABSTRACT Agricultural productivity is the asset on which the world's economy thoroughly relies. This is one of the major causes that disease identification in fruits and plants occupies a salient role in farming space, as having disease disorders in them is obvious. There is a need to carry genuine supervision to avoid crucial consequences in vegetation; otherwise, corresponding vegetation standards, quantity, and productiveness gets affected. At present, a recognition system is required in the food handling industries to uplift the effectiveness of productivity to cope with demand in the community. The study has been carried out to perform a systematic literature review of research papers that deployed machine learning (ML) techniques in agriculture, applicable to the banana plant and fruit production. Thus; it could help upcoming researchers in their endeavors to identify the level and kind of research done so far. The authors investigated the problems related to banana crops such as disease classification, chilling injuries detection, ripeness, moisture content, etc. Moreover, the authors have also reviewed the deployed frameworks based on ML, sources of data collection, and the comprehensive results achieved for each study. Furthermore, ML architectures/techniques were evaluated using a range of performance measures. It has been observed that some studies used the PlantVillage dataset, a few have used Godliver and Scotnelson dataset, and the rest were based on either real-field image acquisition or on limited private datasets. Hence, more datasets are needed to be acquired to enhance the disease identification process and to handle the other kind of problems (e.g. chilling injuries detection, ripeness, etc.) present in the crops. Furthermore, the authors have also carried out a comparison of popular ML techniques like support vector machines, convolutional neural networks, regression, etc. to make differences in their performance. In this study, several research gaps are addressed, allowing for increased transparency in identifying different diseases even before symptoms arise and also for monitoring the abovementioned problems related to crops.

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A review of the ethnomedicinal, antimicrobial, and phytochemical properties of Musa paradisiaca (plantain)

Cited by 24 publications

References 136 publications

Antioxidant activity of banana flesh and antiproliferative effect on breast and pancreatic cancer cells

Antioxidant activity of banana flesh and antiproliferative effect on breast and pancreatic cancer cells

Decoding cancer and herbal renaissance

A Systematic Literature Review of Machine Learning Techniques Deployed in Agriculture: A Case Study of Banana Crop

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